Vol. 22 No. S1 (2023): Special Issue: Data-Driven Learning: Tools, Approaches, and Next Steps

Edited by Rachel Allan, Terry Walker, and Virginia Langum

Published: 2023-03-23

Articles

Data-Driven Learning: Tools, Approaches, and Next Steps

Rachel Allan, Terry Walker, Virginia Langum

1-12
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Research

In-depth Data-driven Learning: At Least Eight Reasons to Rejoice!

Fanny Meunier

13-15
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A Theoretical Rationale for the Importance of Patterning in Language Acquisition and the Implications for Data-driven Learning

Anne O'Keeffe

16-41
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Revisiting the Computer as Informant from a Teacher-Mediated Perspective: Suggested Implementation of an Automated Language Diagnostics Tool

Daniel Ihrmark

42-67
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Reserved for Research? Normalising Corpus Use for School Teachers

Rachel Allan

68-92
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Using Very Large Corpora to Teach Modern English (1500–1945)

Erik Smitterberg

93-112
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‘To my surprise, I don’t particularly like my own opinions’: Exploring Adaptations of the ‘Open-Guise’ Technique to Raise Sociolinguistic Language Awareness

Mats Deutschmann, Anders Steinvall

113-143
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Data-driven Learning: Aiming at the Bigger Picture

Tatyana Karpenko-Seccombe

144-181
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Literature and Data-driven Learning

Ida Margrethe Rask Krogh, Ruben Moi

182-204
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Contributors

About the Contributors

Editorial Team

205-209